本文从原理到实践系统地分享了如何高效使用AI编程工具。涵盖其底层机制（如Token计算、工具调用、Codebase索引与Merkle Tree）、提升对话质量的方法（如规则设置、渐进式开发）、实际应用场景（如代码检索、绘图生成、问题排查），并推荐了结合AI的编码最佳实践，包括文档、注释、命名规范和安全合规，旨在帮助不同经验水平的开发者真正把AI工具用好。

AgentRun is a Python library that makes it easy to run Python code safely from large language models (LLMs) with a single line of code. Built on top of the Docker Python SDK and RestrictedPython, it ...

Whether you’re looking to transition into a training plan safely and avoid injury, or you’re a beginner looking to get into the groove of running, the run/walk method helps you put your best foot ...

There are all sorts of running goals—conquer a marathon, get out three times a week—but one of the most significant performance-based goals is to Get Faster! Let’s face it: Most of us, unless we’re ...

Microsoft is taking an impressive step in modernizing its biggest codebases and will eliminate all C/C++ code by the end of the decade, replacing it with Rust. “My goal is to eliminate every line of C ...

Janice is a desktop app for viewing large JSON files. It's key features are: To run Janice just download and unzip the latest release to your computer. Janice ships ...